mayavoz is a Pytorch-based opensource toolkit for speech enhancement. It is designed to save time for audio practioners & researchers. It provides easy to use pretrained speech enhancement models and facilitates highly customisable model training.
| Quick Start | Installation | Tutorials | Available Recipes | Demo
- Various pretrained models nicely integrated with huggingface hub 🤗 that users can select and use without any hastle.
- 📦 Ability to train and validate your own custom speech enhancement models with just under 10 lines of code!
- 🪄 A command line tool that facilitates training of highly customisable speech enhacement models from the terminal itself!
- ⚡ Supports multi-gpu training integrated with Pytorch Lightning.
- 🛡️ data augmentations integrated using torch-augmentations
Noisy speech followed by enhanced version.
mayavoz_demo.mp4
from mayavoz.models import Mayamodel
model = Mayamodel.from_pretrained("shahules786/mayavoz-waveunet-valentini-28spk")
model.enhance("noisy_audio.wav")| Model | Dataset | STOI | PESQ | URL |
|---|---|---|---|---|
| WaveUnet | Valentini-28spk | 0.836 | 2.78 | shahules786/mayavoz-waveunet-valentini-28spk |
| Demucs | Valentini-28spk | 0.961 | 2.56 | shahules786/mayavoz-demucs-valentini-28spk |
| DCCRN | Valentini-28spk | 0.724 | 2.55 | shahules786/mayavoz-dccrn-valentini-28spk |
| Demucs | MS-SNSD-20hrs | 0.56 | 1.26 | shahules786/mayavoz-demucs-ms-snsd-20 |
Test scores are based on respective test set associated with train dataset.
See tutorials to train your custom model
Only Python 3.8+ is officially supported (though it might work with Python 3.7)
- With Pypi
pip install mayavoz
- With conda
conda env create -f environment.yml
conda activate mayavoz
- From source code
git clone url
cd mayavoz
pip install -e .
For commercial enquiries and scientific consulting, please contact me.
Sincere gratitude to AMPLYFI for supporting this project.